Literature DB >> 18485306

Computational approaches to finding and analyzing cis-regulatory elements.

C Titus Brown1.   

Abstract

The transcription of almost all developmental genes is driven by tissue- and time-specific regulatory elements. These transcriptional regulatory elements lie in the genomic DNA proximal to the gene, and hence are cis-regulatory (as opposed to trans-regulatory elements like transcription factor genes). Over the past three decades, a number of techniques have been applied to the problem of finding and characterizing these regulatory elements. In this chapter, I discuss some computational approaches that have been particularly useful in identifying developmental cis-regulatory regions, and provide a tutorial on how to apply these approaches to the study of chick development.

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Year:  2008        PMID: 18485306     DOI: 10.1016/S0091-679X(08)00218-5

Source DB:  PubMed          Journal:  Methods Cell Biol        ISSN: 0091-679X            Impact factor:   1.441


  4 in total

1.  An integrative genomics approach identifies Hypoxia Inducible Factor-1 (HIF-1)-target genes that form the core response to hypoxia.

Authors:  Yair Benita; Hirotoshi Kikuchi; Andrew D Smith; Michael Q Zhang; Daniel C Chung; Ramnik J Xavier
Journal:  Nucleic Acids Res       Date:  2009-06-02       Impact factor: 16.971

2.  Inflammatory gene regulatory networks in amnion cells following cytokine stimulation: translational systems approach to modeling human parturition.

Authors:  Ruth Li; William E Ackerman; Taryn L Summerfield; Lianbo Yu; Parul Gulati; Jie Zhang; Kun Huang; Roberto Romero; Douglas A Kniss
Journal:  PLoS One       Date:  2011-06-02       Impact factor: 3.240

3.  Identification of regulatory elements in 16S rRNA gene of Acinetobacter species isolated from water sample.

Authors:  Shipra Srivastava; Vijai Singh; Vipin Kumar; Praveen Chandra Verma; Rajeev Srivastava; Vaishali Basu; Vijayta Gupta; Anil Kumar Rawat
Journal:  Bioinformation       Date:  2008-12-06

4.  Statistical approaches to use a model organism for regulatory sequences annotation of newly sequenced species.

Authors:  Pietro Liò; Claudia Angelini; Italia De Feis; Viet-Anh Nguyen
Journal:  PLoS One       Date:  2012-09-11       Impact factor: 3.240

  4 in total

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